SRSukalyan Royinsukalyanroy.hashnode.dev00From Tokens to Trees5d ago · 11 min read · We’ve all used so many programming languages over the years. Who makes them? And how are they maintained? Was the Compiler Design class in university a complete waste of time? Let’s find out. This proJoin discussion
SRSukalyan Royinsukalyanroy.hashnode.dev00Discovering RAGs 2: What is Agentic RAG? May 30 · 12 min read · Where we are now In the previous posts, we went over the basic ideas of a RAG, and some ways to optimize our prompting so that we can use existing solutions. The next step is to try and recreate such Join discussion
SRSukalyan Royinsukalyanroy.hashnode.dev00Agentic AI and Effective PromptingMay 16 · 12 min read · In the last post about RAGs we went through some basic ways of finding similarities in texts, but it's quite obvious that it's a far cry from all the sophisticated ways in which AI works right now. SoJoin discussion
SRSukalyan Royinsukalyanroy.hashnode.dev00Discovering RAGs: A Comprehensive Guide - Part 1May 9 · 13 min read · Since ChatGPT was first unveiled, one of my persistent doubts has been how it will work in applications requiring proprietary or post-2022 data. One approach to solve this is to make what's called a RJoin discussion
SRSukalyan Royinsukalyanroy.hashnode.dev00What Comes After CS50x? Discover CS50 AI - 2May 2 · 9 min read · We’re halfway there, we started this journey together and went through several projects that most people won’t even consider “real” AI. Now it’s time to change that. In this post we will cover topics Join discussion
